Koukyosyumei / AIJack
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
☆385Updated 3 months ago
Alternatives and similar repositories for AIJack:
Users that are interested in AIJack are comparing it to the libraries listed below
- Breaching privacy in federated learning scenarios for vision and text☆284Updated 11 months ago
- Algorithms to recover input data from their gradient signal through a neural network☆286Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆188Updated 3 years ago
- Implementation of dp-based federated learning framework using PyTorch☆298Updated 2 years ago
- Privacy Preserving Vertical Federated Learning☆218Updated last year
- Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)☆292Updated 8 months ago
- ☆326Updated last month
- DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)☆186Updated 3 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆149Updated 4 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆375Updated 5 months ago
- ☆172Updated 5 months ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆120Updated 3 months ago
- Differential private machine learning☆191Updated 3 years ago
- Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.☆359Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆142Updated 2 years ago
- Paper notes and code for differentially private machine learning☆355Updated 4 months ago
- ⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning☆141Updated last month
- Personalized federated learning codebase for research☆378Updated last year
- Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. F…☆257Updated 7 months ago
- [NeurIPS 2019] Deep Leakage From Gradients☆429Updated 2 years ago
- A collection of Google research projects related to Federated Learning and Federated Analytics.☆714Updated 8 months ago
- Code and data accompanying the FedGen paper☆252Updated 5 months ago
- A library for running membership inference attacks against ML models☆143Updated 2 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆155Updated last year
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆190Updated this week
- autodp: A flexible and easy-to-use package for differential privacy☆274Updated last year
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆143Updated 2 years ago
- Python package for simple implementations of state-of-the-art LDP frequency estimation algorithms. Contains code for our VLDB 2021 Paper.☆74Updated last year
- Benchmark of federated learning. Dedicated to the community. 🤗☆569Updated 2 weeks ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆148Updated 2 years ago